At this week’s ABMEC Conference, Guildhawk is proud to announce the development of the world’s first domain-specific Small Language Model (SLM) for the mining industry, with the first two modules now in progress. When completed, this ground-breaking SLM, being created with the help of Sheffield Hallam University (SHU), will be available within GAI Translate™, Guildhawk’s secure AI platform built on the Microsoft enterprise stack.
The SLM for Mining is being created to overcome the problems associated with Large Language Models (LLMs) such as hallucinations and document size limits; empower mining clients to win more customers by translating more content for less cost; and improving productivity by removing the repetitive task of having to manually correct results generated by LLMs.
Google CEO Sundar Pichai recently told the BBC,
“The current state-of-the-art AI technology is prone to some errors.” Advising those who use AI models to, “not blindly trust everything they say”.
Professionals in the mining industry require a level of precision in the translation of domain and task specific terminology that generic LLMs cannot achieve.
“When you use a general LLM to translate documents that contain terms specific to your sector, they often produce errors because they are trained on data that has been polluted.”
says, Guildhawk CEO Jurga Zilinskiene MBE. She warns,
"Generic LLMs can generate content that appears credible but is complete fiction and acting on this could result in harm.”
Experts like Alex Shenfield, Professor of Machine Learning at SHU, know that data enrichment is the secret to improving the accuracy of AI results. He notes,
“High-quality data is the foundation of trustworthy AI.”
Speaking of the pioneering developments Guildhawk and SHU are doing with data as part of their second Government-backed Knowledge Transfer Partnership (KTP), Prof. Shenfield continued,
“Our work is helping to solve a critical bottleneck in the development of intelligent systems.”
Achieving accurate results from a SLM begins with adopting a disciplined approach to the management of multilingual datasets used to train models. At Guildhawk, this discipline commenced several years ago with the development of GAI’s proprietary Medium Language Model (MLM) and the vast human-verified multilingual datasets. These include domain specific vocabularies built over decades working with global clients.
Guildhawk invites innovators in the mining sector to learn more about this groundbreaking project and either become a development partner or sign-up for the priority waitlist ahead of launch.
Visit GAI Translate at Stand 21 for live demonstrations and insights into how domain-specific AI can transform multilingual communication in mining.
ABMEC champions the British mining industry, driving a future where our members are globally acknowledged for their innovation, sustainability, and excellence in mining solutions.
Founded in 2001, Guildhawk is a pioneer in ISO-27001 certified secure AI technology trained on high-quality proprietary datasets verified by experts with a flagship platform called GAI Translate.
SHU is renowned for its practical approach to education, particularly in the fields of computer science and business.